### Install and Verify tvremix Plugin

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Commands to install the tvremix plugin globally, add it to Claude Code, and verify the connection. The setup command triggers an OAuth flow on first use.

```bash
npm install -g @anthropic-ai/claude-code
claude plugin marketplace add tvremix/claude-plugin
claude plugin install tvremix
```

```bash
/tvremix:setup
```

```bash
claude plugin update tvremix
```

```bash
claude --plugin-dir ./plugin
```

--------------------------------

### Upsell to Deeper Skills

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/chart/SKILL.md

These are example phrases to guide the user towards more specialized skills based on their query. Choose the most relevant one.

```text
Run `/tvremix:smc <SYMBOL> <TF>` for order blocks + FVG detail.
```

```text
Run `/tvremix:swing <SYMBOL>` for Fib + R:R.
```

```text
Run `/tvremix:confluence <SYMBOL>` to see if all TFs agree.
```

```text
Run `/tvremix:levels <SYMBOL>`.
```

--------------------------------

### First Run Setup for tvremix Plugin

Source: https://github.com/tvremix/claude-plugin/blob/main/README.md

Execute this command to initiate the setup process for the tvremix plugin. A browser window will open for OAuth authorization.

```bash
/tvremix:setup
```

--------------------------------

### Rank Symbol Setups for Tradable Opportunities

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Rank a list of symbols based on a specified focus (e.g., momentum, mean reversion) and side (long/short). Returns the top N ranked setups.

```python
mcp__tvremix__rank_symbol_setups(
    symbols=["NASDAQ:AAPL","NASDAQ:MSFT","NASDAQ:GOOGL","NASDAQ:META"],
    focus="momentum",
    top_n=3,
    side="long"
)
```

--------------------------------

### Rank Symbol Setups

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Ranks a watchlist of symbols for tradable setups based on a specified focus and side.

```APIDOC
## mcp__tvremix__rank_symbol_setups

### Description
Ranks a set of symbols based on their tradable setup potential, focusing on a specific strategy.

### Parameters
- **symbols** (list[str]) - Required - List of symbols to rank (e.g., ["NASDAQ:AAPL"])
- **focus** (str) - Required - The trading focus (e.g., "momentum", "mean_reversion")
- **top_n** (int) - Required - The number of top-ranked symbols to return.
- **side** (str) - Required - The trading side to rank for ("long" or "short")

### Returns
Ranked list of symbols based on tradable setup potential.
```

--------------------------------

### Install tvremix Plugin for Claude Code

Source: https://github.com/tvremix/claude-plugin/blob/main/README.md

Use these commands to add the tvremix plugin to your Claude Code environment. Ensure you have Claude Code installed first.

```bash
claude plugin marketplace add tvremix/claude-plugin
claude plugin install tvremix
```

--------------------------------

### Analyze Swing Tool

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/swing/SKILL.md

Executes the core swing trading analysis engine. Use this to get detailed information on pivots, trend, Fibonacci levels, pullback zones, and trade setups.

```python
mcp__tvremix__analyze_swing_tool(symbol=<SYMBOL>, interval=<TF>, count=300, swing_lookback=10)
```

--------------------------------

### Get Key Price Levels with /tvremix:levels

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Merges swing-structure and SMC concepts to create a sorted price level ladder. Useful for identifying key support and resistance zones.

```shell
/tvremix:levels NASDAQ:META
```

--------------------------------

### Get Quick Price-Action Glance with /tvremix:chart

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Provides a lightweight snapshot of current price, trend, recent bar action, nearest S/R, and indicator tone. Useful for a rapid market overview.

```shell
/tvremix:chart NYSE:JPM
```

--------------------------------

### Get Financials

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieves fundamental financial data for a given symbol.

```APIDOC
## mcp__tvremix__get_financials

### Description
Retrieves fundamental financial data for a specified stock symbol.

### Parameters
- **symbol** (str) - Required - The EXCHANGE:SYMBOL to get financial data for (e.g., "NASDAQ:TSLA")

### Returns
Fundamental financial data for the symbol.
```

--------------------------------

### Get Financials Data

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieve fundamental financial data for a given symbol.

```python
mcp__tvremix__get_financials(symbol="NASDAQ:TSLA")
```

--------------------------------

### Screeners & Cross-Symbol Tools

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/mcp-tools.md

Tools for running screeners, ranking symbol setups, comparing symbols, and analyzing sectors.

```APIDOC
## run_screener

### Description
Full TV screener access.

### Args
- **market** (str) - The market to run the screener on.
- **filters** (any) - The screener filters to apply.
- **sort_by** (str) - The field to sort the results by.
- **sort_order** (str) - The order to sort the results ('asc' or 'desc').
- **limit** (int, optional) - The maximum number of results to return.
- **columns** (list[str], optional) - Specific columns to include in the results.
- **symbol_types** (list[str], optional) - Filter by symbol types.
- **filter_preset** (str, optional) - Use a predefined filter preset.

### Returns
Results from the TV screener based on the provided criteria.
```

```APIDOC
## rank_symbol_setups

### Description
Score a watchlist for tradable setups.

### Args
- **symbols** (list[str]) - A list of symbols to rank.
- **focus** (str) - The focus of the ranking ('balanced', 'momentum', 'mean_reversion', 'breakout').
- **top_n** (int) - The number of top setups to return.
- **side** (str) - The side to rank for ('buy' or 'sell').

### Returns
A ranked list of tradable setups for the given symbols.
```

```APIDOC
## compare_symbols_tool

### Description
Side-by-side price/fundamentals/technicals with rankings.

### Args
- **symbols** (list[str]) - A list of symbols to compare.
- **metrics** (list[str], optional) - Specific metrics to compare.

### Returns
A side-by-side comparison of symbols including price, fundamentals, technicals, and rankings.
```

```APIDOC
## analyze_sector_tool

### Description
Scan + rank a sector/industry.

### Args
- **sector_name** (str) - The name of the sector or industry to analyze.
- **metric** (str) - The metric to use for ranking.
- **limit** (int, optional) - The maximum number of results to return.
- **market** (str, optional) - The market to query.

### Returns
A scan and ranking of symbols within the specified sector or industry.
```

```APIDOC
## calculate_correlation_tool

### Description
Pearson correlation matrix from log returns over real bars.

### Args
- **symbols** (list[str]) - A list of symbols to calculate correlation for.
- **period** (int, optional, default=30) - The period in days for calculating returns.
- **interval** (str, optional, default='1D') - The interval of the bars.

### Returns
A Pearson correlation matrix for the specified symbols.
```

--------------------------------

### Get Earnings Calendar

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieve earnings calendar information for specified symbols and market.

```python
mcp__tvremix__get_earnings_calendar(symbols=["NASDAQ:AAPL"], market="america")
```

--------------------------------

### Swing Trading Analysis

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Generates a swing trading read with pivot sequence, trend direction, Fibonacci levels, and trade setup. Default timeframe is 1D.

```shell
/tvremix:swing NASDAQ:AAPL
```

```python
mcp__tvremix__analyze_swing_tool(
    symbol="NASDAQ:AAPL",
    interval="1D",
    count=300,
    swing_lookback=10
)
mcp__tvremix__analyze_multi_timeframe(symbol="NASDAQ:AAPL", timeframes=["4h","1D","1W"])
mcp__tvremix__get_earnings_calendar(symbols=["NASDAQ:AAPL"])
```

--------------------------------

### Get Earnings Calendar

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieves the earnings calendar for specified symbols and market.

```APIDOC
## mcp__tvremix__get_earnings_calendar

### Description
Fetches upcoming earnings dates for a list of symbols within a specified market.

### Parameters
- **symbols** (list[str]) - Required - List of EXCHANGE:SYMBOLs to get earnings for (e.g., ["NASDAQ:AAPL"])
- **market** (str) - Required - The market the symbols belong to (e.g., "america")

### Returns
Earnings calendar data for the specified symbols.
```

--------------------------------

### Get Quote

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieves a single-symbol quote with price, change, volume, and OHLC data.

```APIDOC
## mcp__tvremix__get_quote

### Description
Retrieves a snapshot of quote data for a single symbol.

### Parameters
- **symbol** (str) - Required - The EXCHANGE:SYMBOL to get the quote for (e.g., "NASDAQ:AAPL")

### Returns
Quote data including price, change%, volume, O/H/L/C, and market cap.
```

--------------------------------

### Get Batch Symbol Quotes

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieve quote snapshots for multiple symbols efficiently. Prefer this over looping `get_quote` for performance.

```python
mcp__tvremix__get_quotes_batch(symbols=["NASDAQ:AAPL","NASDAQ:MSFT","AMEX:SPY"])
```

--------------------------------

### Get Quotes Batch

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieves quote data for a batch of up to 50 symbols efficiently.

```APIDOC
## mcp__tvremix__get_quotes_batch

### Description
Retrieves quote data for multiple symbols in a single batch request.

### Parameters
- **symbols** (list[str]) - Required - List of EXCHANGE:SYMBOLs to get quotes for (e.g., ["NASDAQ:AAPL", "NASDAQ:MSFT"])

### Returns
An object containing quote data for each symbol and a list of missing symbols.
```

--------------------------------

### Get Analyst Forecasts

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieve analyst forecast data for a given symbol.

```python
mcp__tvremix__get_forecasts(symbol="NASDAQ:TSLA")
```

--------------------------------

### Get Forecasts

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieves analyst forecasts for a given symbol.

```APIDOC
## mcp__tvremix__get_forecasts

### Description
Retrieves analyst forecast data for a specified stock symbol.

### Parameters
- **symbol** (str) - Required - The EXCHANGE:SYMBOL to get forecast data for (e.g., "NASDAQ:TSLA")

### Returns
Analyst forecast data for the symbol.
```

--------------------------------

### Get Full Technicals

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Fetches comprehensive technical indicators across multiple timeframes for a single symbol.

```APIDOC
## mcp__tvremix__get_full_technicals

### Description
Retrieves detailed technical indicators for a symbol across various default or specified timeframes.

### Parameters
- **symbol** (str) - Required - The EXCHANGE:SYMBOL to get technicals for (e.g., "BINANCE:BTCUSDT")
- **timeframes** (list[str]) - Optional - List of timeframes to retrieve technicals for. Defaults to ["15m","1h","4h","1D","1W"].

### Returns
Full technical indicator data for the specified symbol and timeframes.
```

--------------------------------

### Get Option Expirations and Spot Price

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/options/SKILL.md

Fetch available option expiration dates and the current spot price for a given symbol. The spot price is crucial for classifying options (ATM/ITM/OTM) and framing strike prices.

```python
mcp__tvremix__get_option_expirations(symbol=<SYMBOL>)
```

```python
mcp__tvremix__get_quote(symbol=<SYMBOL>)
```

--------------------------------

### Get News Story

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieves the full content of a specific news story using its ID.

```APIDOC
## mcp__tvremix__get_news_story

### Description
Retrieves the full content of a single news story using its unique identifier.

### Parameters
- **story_id** (str) - Required - The unique ID of the news story (obtained from `get_news`).

### Returns
The full content of the specified news story.
```

--------------------------------

### Get Raw OHLCV Bars

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieve raw Open, High, Low, Close, and Volume data for a symbol within a specified interval and count. Returns data in a compact format.

```python
mcp__tvremix__get_ohlcv(symbol="NASDAQ:NVDA", interval="4h", count=300, summary=False)
```

--------------------------------

### Get Single Symbol Quote Snapshot

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieve a real-time quote snapshot for a single symbol, including price, change, volume, and OHLC data.

```python
mcp__tvremix__get_quote(symbol="NASDAQ:AAPL")
```

--------------------------------

### Get News

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieves recent news articles for a given symbol, including hyperlinks.

```APIDOC
## mcp__tvremix__get_news

### Description
Fetches recent news articles related to a specific symbol, including hyperlinks for source verification.

### Parameters
- **symbol** (str) - Required - The EXCHANGE:SYMBOL to get news for (e.g., "NASDAQ:NVDA")
- **limit** (int) - Optional - The maximum number of news articles to return.

### Returns
List of news articles, each with relevant details and hyperlinks.
```

--------------------------------

### Get Full Multi-Timeframe Technicals

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Fetch comprehensive technical indicators across multiple timeframes for a given symbol. Defaults to 15m, 1h, 4h, 1D, 1W.

```python
mcp__tvremix__get_full_technicals(
    symbol="BINANCE:BTCUSDT",
    timeframes=["15m","1h","4h","1D","1W"]
)
```

--------------------------------

### Get OHLCV

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieves raw Open, High, Low, Close, and Volume (OHLCV) bars for a symbol within a specified interval and count.

```APIDOC
## mcp__tvremix__get_ohlcv

### Description
Fetches historical OHLCV data bars for a given symbol and interval.

### Parameters
- **symbol** (str) - Required - The EXCHANGE:SYMBOL to get OHLCV data for (e.g., "NASDAQ:NVDA")
- **interval** (str) - Required - The interval for the bars (e.g., "4h", "1D")
- **count** (int) - Required - The number of bars to retrieve (up to 5000).
- **summary** (bool) - Optional - Whether to return a summary (defaults to False).

### Returns
List of OHLCV bar objects, each with time (t), open (o), high (h), low (l), close (c), and volume (v).
```

--------------------------------

### Get Current Quote Data

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/momentum/SKILL.md

Fetch the current market quote for a symbol, including price, percentage change, and volume relative to its average. This provides a snapshot of the current market status.

```tool_code
mcp__tvremix__get_quote(symbol=<SYMBOL>)
```

--------------------------------

### Get Economic Calendar

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/swing/SKILL.md

Retrieves the economic calendar. Useful for identifying macro events that might affect macro-sensitive instruments during the hold window of a swing trade.

```python
mcp__tvremix__get_economic_calendar()
```

--------------------------------

### Get Earnings Calendar Data

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/chart/SKILL.md

Call this function to retrieve earnings calendar data for a symbol. It should only be used if a trade discussion is likely and earnings timing might be relevant.

```python
mcp__tvremix__get_earnings_calendar(symbols=[<SYMBOL>])
```

--------------------------------

### Get Historical OHLCV Data

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/momentum/SKILL.md

Retrieve historical Open, High, Low, Close, and Volume data for a given symbol and interval. This is useful for volume analysis and checking recent price action against average volume.

```tool_code
mcp__tvremix__get_ohlcv(symbol=<SYMBOL>, interval="1D", count=200, summary=False)
```

--------------------------------

### Analyze Multi-Timeframe Momentum

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/momentum/SKILL.md

Call this tool to get momentum indicators (RSI, MACD, Stochastic, ADX) and an aggregated rating for multiple timeframes. Ensure the symbol is resolved to EXCHANGE:SYMBOL format.

```tool_code
mcp__tvremix__analyze_multi_timeframe(symbol=<SYMBOL>, timeframes=["15m","1h","4h","1D","1W"])
```

--------------------------------

### Run TradingView Screener

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Execute a TradingView screener with custom filters, sorting, and limits. Specify market, filters, sort order, limit, and desired columns.

```python
mcp__tvremix__run_screener(
    market="america",
    filters=[{"left":"RSI","operation":"greater","right":60},
             {"left":"ADX","operation":"greater","right":25}],
    sort_by="RSI",
    sort_order="desc",
    limit=20,
    columns=["close","RSI","ADX","volume"]
)
```

--------------------------------

### Run Screener

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Executes a TradingView screener with specified market, filters, sorting, and limit.

```APIDOC
## mcp__tvremix__run_screener

### Description
Runs a TradingView screener based on provided filters and sorting criteria.

### Parameters
- **market** (str) - Required - The market to screen (e.g., "america")
- **filters** (list[dict]) - Required - List of filter conditions (e.g., `[{"left":"RSI","operation":"greater","right":60}]`)
- **sort_by** (str) - Required - The field to sort results by (e.g., "RSI")
- **sort_order** (str) - Required - The order of sorting ("asc" or "desc")
- **limit** (int) - Optional - The maximum number of results to return.
- **columns** (list[str]) - Optional - List of columns to include in the results (e.g., ["close", "RSI"])

### Returns
Screening results based on the specified criteria.
```

--------------------------------

### Run Full SMC Analysis

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/smc/SKILL.md

Execute the core SMC analysis engine. Use a swing lookback of 5 for internal structure and optionally 25 for higher-timeframe swing structure.

```python
mcp__tvremix__analyze_smc_tool(symbol=<SYMBOL>, interval=<TF>, count=300, swing_lookback=5)
```

--------------------------------

### Batch Compute Support/Resistance and Order Blocks

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Compute swing support/resistance levels and order blocks for a list of symbols. Supports 'swing' and 'smc' methods with configurable lookback periods.

```python
mcp__tvremix__compute_levels_batch(
    symbols=["NASDAQ:TSLA","NASDAQ:NVDA","NYSE:JPM"],
    methods=["swing","smc"],
    timeframes=["1D"],
    swing_lookback=10
)
```

--------------------------------

### Development: Local Iteration with tvremix Plugin

Source: https://github.com/tvremix/claude-plugin/blob/main/README.md

Commands for local development and testing of the tvremix plugin. This allows you to run commands against local skill files.

```bash
cd /path/to/monorepo
claude --plugin-dir ./plugin
```

--------------------------------

### tvremix:smc Command for Smart Money Concepts

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Performs an ICT-style Smart Money Concepts analysis, including BOS, CHoCH, order blocks, and FVGs. Accepts a symbol and interval, with optional parameters for historical depth and swing structure lookback.

```bash
/tvremix:smc NASDAQ:NVDA 4h
```

--------------------------------

### Multi-Timeframe Momentum Scorecard

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Builds a five-timeframe momentum scorecard using RSI, MACD, ADX, and volume, synthesizing into a single bias score. Requires symbol and timeframes.

```shell
/tvremix:momentum BINANCE:BTCUSDT
```

```python
mcp__tvremix__analyze_multi_timeframe(
    symbol="BINANCE:BTCUSDT",
    timeframes=["15m","1h","4h","1D","1W"]
)
mcp__tvremix__get_ohlcv(symbol="BINANCE:BTCUSDT", interval="1D", count=200, summary=False)
mcp__tvremix__get_quote(symbol="BINANCE:BTCUSDT")
```

--------------------------------

### Options Chain Analysis

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Fetches options chain data, including Greeks and strategy suggestions. Can specify an explicit expiration date.

```shell
/tvremix:options NASDAQ:TSLA
```

```shell
/tvremix:options NASDAQ:TSLA 2026-05-16
```

```python
mcp__tvremix__get_option_expirations(symbol="NASDAQ:TSLA")
mcp__tvremix__get_quote(symbol="NASDAQ:TSLA")
mcp__tvremix__get_option_chain(symbol="NASDAQ:TSLA", expiration="2026-05-16")
mcp__tvremix__get_earnings_calendar(symbols=["NASDAQ:TSLA"])
```

--------------------------------

### Options Tools

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/mcp-tools.md

Tools for retrieving options expiration dates and option chain data.

```APIDOC
## get_option_expirations

### Description
Available expiries.

### Args
- **symbol** (str) - The symbol to get option expirations for.

### Returns
A list of available option expiration dates.
```

```APIDOC
## get_option_chain

### Description
Calls/puts with IV, Greeks, OI, volume.

### Args
- **symbol** (str) - The symbol to get the option chain for.
- **expiration** (str, optional) - The expiration date to filter by.
- **option_type** (str, optional) - The type of option to filter by ('call' or 'put').

### Returns
Option chain data including IV, Greeks, OI, and volume.
```

--------------------------------

### Analyze Market Structure with Swing and SMC Tools

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/levels/SKILL.md

These functions are used to gather structural data for price level analysis. `analyze_swing_tool` provides trendlines, channels, and pivot-based S/R, while `analyze_smc_tool` identifies order blocks, FVGs, and liquidity pools. `get_quote` retrieves the current spot price.

```python
mcp__tvremix__analyze_swing_tool(symbol=<SYMBOL>, interval=<TF>, count=300, swing_lookback=10)
mcp__tvremix__analyze_smc_tool(symbol=<SYMBOL>, interval=<TF>, count=300, swing_lookback=5)
mcp__tvremix__get_quote(symbol=<SYMBOL>)
```

--------------------------------

### Get Specific News Story

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieve the full content of a specific news story using its ID obtained from `get_news`.

```python
mcp__tvremix__get_news_story(story_id="<id_from_get_news>")
```

--------------------------------

### Get News for a Symbol

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Fetch recent news articles for a specific symbol, including hyperlinks. Required for news-driven claims.

```python
mcp__tvremix__get_news(symbol="NASDAQ:NVDA", limit=5)
```

--------------------------------

### Internal MCP Calls for SMC Analysis

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Illustrates the underlying MCP tool calls made by the `/tvremix:smc` command for analyzing Smart Money Concepts and multi-timeframe alignment.

```python
mcp__tvremix__analyze_smc_tool(
    symbol="NASDAQ:NVDA",
    interval="4h",
    count=300,          # enough history for meaningful structure
    swing_lookback=5    # internal/short-term structure
)
```

```python
mcp__tvremix__analyze_smc_tool(symbol="NASDAQ:NVDA", interval="4h", count=300, swing_lookback=25)
```

```python
mcp__tvremix__analyze_multi_timeframe(symbol="NASDAQ:NVDA", timeframes=["1h","4h","1D","1W"])
```

--------------------------------

### Web Search for Context

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Perform a web search to gather macro or narrative context. Specify the query and the number of results desired.

```python
mcp__tvremix__web_search(query="NVDA Blackwell demand outlook Q2 2026", num_results=5)
```

--------------------------------

### Fundamentals & Forecasts Tools

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/mcp-tools.md

Tools for retrieving fundamental data, analyst forecasts, and SEC filings.

```APIDOC
## get_financials

### Description
P/E, EPS, market cap, margins, sector, industry.

### Args
- **symbol** (str) - The symbol to get financial data for.

### Returns
Fundamental data including P/E, EPS, market cap, margins, sector, and industry.
```

```APIDOC
## get_forecasts

### Description
Analyst price targets, ratings distribution, EPS estimates.

### Args
- **symbol** (str) - The symbol to get forecast data for.

### Returns
Analyst price targets, ratings distribution, and EPS estimates.
```

```APIDOC
## get_documents

### Description
SEC filings (10-K/10-Q/8-K) listings.

### Args
- **symbol** (str) - The symbol to get documents for.
- **doc_type** (str, optional) - The type of document to filter by (e.g., '10-K', '10-Q').
- **limit** (int, optional) - The maximum number of documents to return.

### Returns
A list of SEC filings for the specified symbol.
```

```APIDOC
## get_document_view

### Description
Full document text.

### Args
- **view_id** (str) - The ID of the document view to retrieve.

### Returns
The full text of the specified document.
```

--------------------------------

### Fetch Option Chain Data

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/options/SKILL.md

Retrieve the full option chain for a specific symbol and expiration date. If the chain is excessively large, filter it to include strikes within +/- 15% of the spot price, keeping approximately 10 calls and 10 puts around the ATM strike.

```python
mcp__tvremix__get_option_chain(symbol=<SYMBOL>, expiration=<PICKED_EXPIRATION>)
```

--------------------------------

### Bars & Market Structure Tools

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/mcp-tools.md

Tools for retrieving historical price bars and analyzing market structure concepts.

```APIDOC
## get_ohlcv

### Description
Historical bars straight from TV's WebSocket feed.

### Args
- **symbol** (str) - The symbol to get OHLCV data for.
- **interval** (str) - The time interval for the bars.
- **count** (int, max 5000) - The number of bars to retrieve.
- **summary** (bool) - Whether to return a summary of the bars.

### Returns
Historical OHLCV bars for the specified symbol, interval, and count.
```

```APIDOC
## analyze_smc_tool

### Description
Smart Money Concepts: BOS/CHoCH, order blocks, FVGs, liquidity, premium/discount, bias. Internally fetches bars.

### Args
- **symbol** (str) - The symbol to analyze.
- **interval** (str) - The time interval for the analysis.
- **count** (int) - The number of bars to consider for the analysis.
- **swing_lookback** (int) - The lookback period for identifying swings.

### Returns
Analysis of Smart Money Concepts including BOS/CHoCH, order blocks, FVGs, liquidity, premium/discount, and bias.
```

```APIDOC
## analyze_swing_tool

### Description
Swing structure: pivots, trendlines, channels, range zones, bias. Internally fetches bars.

### Args
- **symbol** (str) - The symbol to analyze.
- **interval** (str) - The time interval for the analysis.
- **count** (int) - The number of bars to consider for the analysis.
- **swing_lookback** (int) - The lookback period for identifying swings.

### Returns
Analysis of swing structure including pivots, trendlines, channels, range zones, and bias.
```

--------------------------------

### Development: Pushing Plugin Changes

Source: https://github.com/tvremix/claude-plugin/blob/main/README.md

This command is used to push plugin changes from the monorepo root to the public GitHub repository. It utilizes git subtree for synchronization.

```bash
# From the monorepo root, after merging your plugin change to main:
git subtree push --prefix=plugin git@github.com:tvremix/claude-plugin.git main
```

--------------------------------

### Compute Levels Batch

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Computes support/resistance levels and order blocks for a batch of symbols across specified methods and timeframes.

```APIDOC
## mcp__tvremix__compute_levels_batch

### Description
Computes support/resistance levels and order blocks for a batch of symbols using specified methods and timeframes.

### Parameters
- **symbols** (list[str]) - Required - List of symbols to compute levels for (e.g., ["NASDAQ:TSLA"])
- **methods** (list[str]) - Required - List of methods to use for level computation (e.g., ["swing", "smc"])
- **timeframes** (list[str]) - Required - List of timeframes to consider (e.g., ["1D"])
- **swing_lookback** (int) - Optional - Lookback period for swing level calculation.

### Returns
Per-(symbol, TF) swing S/R + OBs/FVGs + summary_markdown.
```

--------------------------------

### Multi-Timeframe Analysis

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/swing/SKILL.md

Performs a sanity check across multiple timeframes to confirm alignment with the higher-timeframe trend. Recommended for confirming swing trade direction.

```python
mcp__tvremix__analyze_multi_timeframe(symbol=<SYMBOL>, timeframes=["4h","1D","1W"])
```

--------------------------------

### News & Calendars Tools

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/mcp-tools.md

Tools for retrieving news headlines, articles, and calendar events.

```APIDOC
## get_news

### Description
Headlines with `link`, `provider`, `published`.

### Args
- **symbol** (str) - The symbol to get news for.
- **limit** (int, optional, default=10) - The maximum number of news headlines to return.

### Returns
News headlines including link, provider, and publication date.
```

```APIDOC
## get_news_story

### Description
Full article body.

### Args
- **story_id** (str) - The ID of the news story to retrieve.

### Returns
The full text of the specified news article.
```

```APIDOC
## get_economic_calendar

### Description
Macro events.

### Args
- **countries** (list[str], optional) - Filter by countries.
- **importance** (str, optional) - Filter by importance level.
- **date_from** (str, optional) - Start date for the calendar.
- **date_to** (str, optional) - End date for the calendar.

### Returns
A list of economic calendar events.
```

```APIDOC
## get_earnings_calendar

### Description
Upcoming/past earnings.

### Args
- **symbols** (list[str], optional) - Filter by symbols.
- **market** (str) - The market to query.
- **date_from** (str, optional) - Start date for the calendar.
- **date_to** (str, optional) - End date for the calendar.
- **limit** (int, optional) - The maximum number of events to return.

### Returns
A list of upcoming or past earnings events.
```

```APIDOC
## get_dividends_calendar

### Description
Upcoming dividend payments.

### Args
- **market** (str) - The market to query.
- **date_from** (str, optional) - Start date for the calendar.
- **date_to** (str, optional) - End date for the calendar.
- **limit** (int, optional) - The maximum number of events to return.

### Returns
A list of upcoming dividend payments.
```

--------------------------------

### Analyze Multi-Timeframe Ratings

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Fetch RSI, MACD, ADX, and consensus ratings for multiple symbols across different timeframes. Returns a summary markdown for direct quoting.

```python
mcp__tvremix__analyze_multi_timeframe_batch(
    symbols=["NASDAQ:AAPL","NASDAQ:MSFT","NASDAQ:NVDA","AMEX:SPY"],
    timeframes=["1D","240","1W"]
)
```

--------------------------------

### Pull Minimal Data Set

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/chart/SKILL.md

These functions are used to retrieve quote, OHLCV, and technicals data for a given symbol and interval. Ensure the symbol and interval are correctly formatted before calling.

```python
mcp__tvremix__get_quote(symbol=<SYMBOL>)
mcp__tvremix__get_ohlcv(symbol=<SYMBOL>, interval=<TF>, count=60, summary=False)
mcp__tvremix__get_technicals(symbol=<SYMBOL>, interval=<TF>)
```

--------------------------------

### Analyze Multi-Timeframe Batch

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Retrieves multi-timeframe ratings (RSI, MACD, ADX, consensus) and a summary markdown for a batch of symbols.

```APIDOC
## mcp__tvremix__analyze_multi_timeframe_batch

### Description
Performs multi-timeframe analysis for a given list of symbols, returning technical indicators and consensus ratings.

### Parameters
- **symbols** (list[str]) - Required - List of symbols to analyze (e.g., ["NASDAQ:AAPL"])
- **timeframes** (list[str]) - Required - List of timeframes to analyze (e.g., ["1D", "240", "1W"])

### Returns
Per-(symbol, TF) RSI/MACD/ADX/rating + consensus buckets (bullish_all_tf, bearish_all_tf, mixed) + summary_markdown.
```

--------------------------------

### Layer Multi-Timeframe Context

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/smc/SKILL.md

Obtain higher timeframe (HTF) bias by analyzing multiple timeframes. This context is recommended to cross-reference with the primary SMC read.

```python
mcp__tvremix__analyze_multi_timeframe(symbol=<SYMBOL>, timeframes=["1h","4h","1D","1W"])
```

--------------------------------

### Analyze SMC Tool for Structure

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/confluence/SKILL.md

Call this function for specific timeframes (e.g., '4h', '1D') to obtain structural bias, complementing indicator bias. Adjust 'count' and 'swing_lookback' as needed for your analysis.

```python
mcp__tvremix__analyze_smc_tool(symbol=<SYMBOL>, interval="4h", count=300, swing_lookback=5)
```

```python
mcp__tvremix__analyze_smc_tool(symbol=<SYMBOL>, interval="1D", count=300, swing_lookback=10)
```

--------------------------------

### Symbol Identity & Quotes Tools

Source: https://github.com/tvremix/claude-plugin/blob/main/skills/mcp-tools.md

Tools for searching symbols, retrieving quotes, and accessing batch quote data.

```APIDOC
## search_symbols

### Description
Fuzzy-matched symbols with EXCHANGE:SYMBOL. Use this first when the user gives a ticker without an exchange.

### Args
- **query** (str) - The search query for symbols.
- **limit** (int, optional, default=10) - The maximum number of results to return.

### Returns
Fuzzy-matched symbols with EXCHANGE:SYMBOL.
```

```APIDOC
## get_quote

### Description
Snapshot: price, change, volume, O/H/L/C, market cap.

### Args
- **symbol** (str) - The symbol to get quote data for.

### Returns
Snapshot quote data including price, change, volume, O/H/L/C, and market cap.
```

```APIDOC
## get_quotes_batch

### Description
Snapshot quotes for many symbols in one call. Use instead of looping `get_quote`. Returns `data: {sym: {...}}` + `missing: [...]`.

### Args
- **symbols** (list[str], max 50) - A list of symbols to get quote data for.

### Returns
Snapshot quotes for multiple symbols, including data and a list of missing symbols.
```

```APIDOC
## get_symbol_data

### Description
Escape hatch for raw scanner columns.

### Args
- **symbol** (str) - The symbol to get data for.
- **columns** (list[str]) - A list of columns to retrieve.

### Returns
Raw scanner column data for the specified symbol.
```

--------------------------------

### Check Multi-Timeframe Alignment with /tvremix:confluence

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Assesses agreement across multiple timeframes (15m to 1W) using indicators and SMC structure. Provides an alignment score to gauge trade conviction.

```shell
/tvremix:confluence NASDAQ:MSFT
```

--------------------------------

### Resolve Bare Ticker to Exchange:Symbol

Source: https://context7.com/tvremix/claude-plugin/llms.txt

Resolve a bare ticker symbol (e.g., 'NVDA') to its full 'EXCHANGE:SYMBOL' format. Useful when the exchange is unknown.

```python
mcp__tvremix__search_symbols(query="NVDA", limit=5)
```